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📢 Gate Square Summer Creation Camp is live — 50,000 USDT prize pool up for grabs.
Post original content with #SummerCreationCamp to join.
🎁 New creators: 50 USDT contract voucher for first post, 100 USDT voucher for consistent posting, plus 5 USDT daily lucky draws.
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📅 July 15 – July 27, 24:00 (UTC+8)
👉 https://www.gate.com/announcements/article/100685
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📢 Gate Square Summer Creation Camp is live — 50,000 USDT prize pool up for grabs.
Post original content with #SummerCreationCamp to join.
🎁 New creators: 50 USDT contract voucher for first post, 100 USDT voucher for consistent posting, plus 5 USDT daily lucky draws.
🏆 All creators: share 500 USDT prize pool for hitting milestones. Top content earns 20 USDT + featured placement + 7-day traffic boost.
📅 July 15 – July 27, 24:00 (UTC+8)
👉 https://www.gate.com/announcements/article/100685
#SummerCreationCamp #GateSquare
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Mrs_Thynk:
2026 GOGOGO 👊
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#BIP110SoftForkFails
On August 8, 2026, one of the most publicized governance episodes in Bitcoin's recent history reached an abrupt and decisive end. The BIP-110 soft fork, a proposal designed to restrict non-financial data on the Bitcoin network for a period of one year, officially failed after mining only two blocks. The split occurred at block height 961,632, where nodes running the BIP-110 software rejected a block lacking the required signaling flag and began building an alternative chain. That breakaway chain, backed mainly by the Roughnecks mining pool, managed exactly two blocks befo
HighAmbition
#BIP110SoftForkFails
On August 8, 2026, one of the most publicized governance episodes in Bitcoin's recent history reached an abrupt and decisive end. The BIP-110 soft fork, a proposal designed to restrict non-financial data on the Bitcoin network for a period of one year, officially failed after mining only two blocks. The split occurred at block height 961,632, where nodes running the BIP-110 software rejected a block lacking the required signaling flag and began building an alternative chain. That breakaway chain, backed mainly by the Roughnecks mining pool, managed exactly two blocks before stalling altogether, stranded by roughly 99.85 percent of the network's hash power.
To understand why this matters, it helps to explain what BIP-110 actually proposed. BIP stands for Bitcoin Improvement Proposal, and this particular one, number 110, sought to limit what supporters described as "spam" clogging the blockchain. That category included images, text, and Ordinals-style inscriptions as well as Runes activity. The lead proponent was Bitcoin Knots creator Luke Dashjr, who argued such transactions inflate the block size, drive up network fees, and degrade the experience of using Bitcoin as a base layer for payments. Opponents, however, viewed the proposal as a form of censorship, a dangerous step toward someone deciding what content is acceptable on an open and permissionless ledger.
The fork needed at least 55 percent miner support to activate. In the end it secured only 2.53 percent. That enormous shortfall underscores a key lesson about Bitcoin governance: without broad consensus across miners, node operators, and the wider community, even a well-organized minority cannot force a controversial change. Michael Saylor, the chairman of Strategy, publicly predicted this outcome, stating that BIP-110 would either stall or fork into irrelevance while Bitcoin itself continued operating normally. That is essentially what happened. The minority chain inherited the full and massive mining difficulty of the main network while commanding almost none of its computing power, which meant it ground to a halt within hours and will not see another difficulty adjustment for roughly 350 days.
From a market perspective, the most striking thing about the failed fork is how little it moved the price of Bitcoin. During the entire episode, BTC traded in a narrow band around USD 65,000 without any significant volatility spike. This behavior tells us that most traders and institutional investors treated the governance skirmish as routine background noise rather than a genuine threat to the network's integrity. The contrast with the November 2021 Taproot upgrade is instructive, since Taproot secured broad miner support before activation and produced no persistent minority chain, while BIP-110 collapsed almost immediately. The market's calm reaction also reflects the reality that, for ordinary users, nothing has changed. Inscriptions and Runes continue to function exactly as they did before, and the debate over how much data belongs on-chain remains unresolved.
Looking at Bitcoin's current market position, the price has stabilized in the USD 64,000 to 66,000 range. As of the most recent close on August 10, Bitcoin traded near USD 63,970, having dipped slightly about one and a half percent over a single day before recovering earlier in the week. The last several sessions have shown consistent support, with the asset holding above its 50-day exponential moving average near USD 64,670, though it remains capped below the 100-day average at roughly USD 67,000 and further below the 200-day average near USD 72,500. The Fear and Greed Index sits at an extreme fear reading near 25, and market sentiment is currently described as cautious to bearish among short-horizon traders, even while underlying accumulation continues.
On the institutional side, there is a meaningful counterweight. US-listed spot Bitcoin exchange-traded funds attracted over USD 850 million in net inflows last week, the strongest weekly figure since mid-April. This inflow suggests that while retail sentiment is fearful, larger allocators are still treating recent weakness as an opportunity to add exposure. That dynamic creates a battle between technical bearishness and steady institutional demand, and it is the central tension governing where Bitcoin goes next.
Several external factors continue to weigh on the outlook. Ongoing uncertainty in the Middle East, including fresh attacks on Saudi energy infrastructure reportedly carried out by Houthi forces, has been pushing crude oil prices higher and fueling inflation concerns. That environment strengthens market bets on at least one Federal Reserve interest rate hike in 2026, which historically tends to cap the upside for risk assets including Bitcoin. Meanwhile, in Washington the Senate recessed without passing the CLARITY Act, a proposed piece of crypto legislation, leaving US regulatory clarity unresolved for the autumn. These factors combine to keep a ceiling on enthusiasm despite the ETF inflows.
On the technical chart, the key levels traders are watching are clearly defined. Since early July, Bitcoin has been oscillating in a range roughly between USD 60,965 and USD 66,885. A sustained three-day close above USD 66,885 would restore bullish structure and open a path toward USD 76,118, and beyond that the door back toward USD 100,000 remains an attainable longer-term target if momentum builds. On the downside, a loss of the USD 60,965 floor would expose the range low near USD 54,000 and, in a more severe breakdown scenario, could invite a slide toward the USD 41,000 zone. Some analysts note that a head-and-shoulders pattern has formed, but they also caution that such patterns frequently fail, and a move that far down would require a catalyst the market does not currently possess.
For price forecasting, the consensus among analysts is moderately constructive over the medium to long term, but uncertain in the near term. Short-horizon models project Bitcoin modestly upward, with targets around USD 65,000 to USD 69,000 over the next week to month, reflecting an expected gain of roughly one to eight percent from current levels. More ambitious 2026 forecasts see Bitcoin reaching between USD 100,000 and USD 180,000 if the range breaks upward and the macro environment improves, with even longer-dated scenarios pointing to USD 250,000 and beyond by 2030. These optimistic figures, however, depend heavily on the asset first reclaiming its key moving averages and proving it can hold above the USD 66,885 breakout level.
For anyone building a trading strategy in this environment, a disciplined, level-based approach is the most sensible. The clearest tactic is to respect the established range rather than guess a direction prematurely. A patient trader might accumulate small positions on confirmed bounces near the USD 61,000 support zone while protecting downside, and only add aggressively on a decisive break above USD 66,885 with strong volume. The more conservative alternative is to wait for confirmation of a breakout in either direction and then follow it, accepting that this approach captures less of the initial move in exchange for much lower risk. Regardless of the approach, position sizing should account for the fact that Bitcoin's volatility, while lower than during its most extreme cycles, remains significant.
The next plan for Bitcoin, in practical terms, revolves around a few central questions. First, can the asset decisively leave its sideways range? The answer largely depends on whether the strong ETF inflows can overpower the macro headwinds from rate-hike expectations and geopolitical tension. Second, can a governance-adjacent impasse like BIP-110 be resolved through consensus in the future? The failure demonstrated that the community will reject censorship-oriented changes, and it likely sets a precedent that complicates other pending proposals requiring soft forks, such as covenants-based vault designs. Third, and most importantly for price, how far can Bitcoin realistically rise? If the technical and institutional forces align, a move through USD 76,000 toward the USD 100,000 station is a plausible 2026 target, with the extreme bullish case reaching toward USD 150,000 if a genuine cycle expansion resumes.
In summary, the BIP-110 failure was a decisive reaffirmation that Bitcoin's protocol changes require genuine, broad consensus to succeed, and the market's muted reaction confirms it was treated as a non-event for price. Bitcoin now sits in a critical technical position, supported by institutional inflows on one side and constrained by macro caution on the other. The price range between roughly USD 61,000 and USD 67,000 is the battleground, and the resolution of that range will largely determine the direction and speed of the next major move. For both traders and long-term holders, patience, disciplined risk management, and attention to the well-defined support and resistance levels are the most reliable guides.@Gate_Square
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$XRP is trading inside a bullish recovery after rebounding strongly from the intraday low at 0.9914.
The market remains cautiously bullish in the short term, with buyers reclaiming control above the 1.0000–1.0060 support zone while sellers continue to defend the 1.0160–1.0235 resistance area. A clean breakout above resistance could trigger another leg higher, while losing support would shift momentum back to the downside.
EP
1.0080–1.0120
TP
TP1 1.0160
TP2 1.0236
TP3 1.0320
SL
0.9990
XRP briefly flushed liquidity below 1.0000, printing an intraday low at 0.9914, before buyers stepped in with s
XRP-0.41%
LedgerBull
$XRP is trading inside a bullish recovery after rebounding strongly from the intraday low at 0.9914.
The market remains cautiously bullish in the short term, with buyers reclaiming control above the 1.0000–1.0060 support zone while sellers continue to defend the 1.0160–1.0235 resistance area. A clean breakout above resistance could trigger another leg higher, while losing support would shift momentum back to the downside.
EP
1.0080–1.0120
TP
TP1 1.0160
TP2 1.0236
TP3 1.0320
SL
0.9990
XRP briefly flushed liquidity below 1.0000, printing an intraday low at 0.9914, before buyers stepped in with strong demand and pushed price back above the psychological 1.01 level. The recovery suggests buyers are attempting to regain short-term momentum, but price is still approaching a key resistance zone. As long as XRP continues to hold above the 1.00 support area, another attempt toward the daily high remains possible. However, a failure to defend support could lead to another retest of lower liquidity before buyers regain full control.
Let’s go $XRP ‌
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Worked for 17s
Bitdeer Stock Plunges 20%: Why Is It Still Losing Money Despite 47% Revenue Growth—and Can Its AI Cloud Strategy Change the Story?
Bitdeer Technologies Group (NASDAQ: BTDR) has delivered a quarter that looks impressive at first glance but becomes considerably more complicated when the income statement and capital requirements are examined in detail. Second-quarter revenue increased 47% year over year to $228.8 million, yet the company reported a $92.3 million net loss, while its operating loss reached approximately $101.7 million. The disconnect between strong top-line growth an
EagleEye
Worked for 17s
Bitdeer Stock Plunges 20%: Why Is It Still Losing Money Despite 47% Revenue Growth—and Can Its AI Cloud Strategy Change the Story?
Bitdeer Technologies Group (NASDAQ: BTDR) has delivered a quarter that looks impressive at first glance but becomes considerably more complicated when the income statement and capital requirements are examined in detail. Second-quarter revenue increased 47% year over year to $228.8 million, yet the company reported a $92.3 million net loss, while its operating loss reached approximately $101.7 million. The disconnect between strong top-line growth and continued losses helps explain why the stock came under heavy pressure despite rapid expansion in both Bitcoin mining and AI infrastructure.
The central issue for investors is therefore not whether Bitdeer is growing. It clearly is. The more important question is what kind of growth the company is generating, how much capital is required to produce it, and whether the business can eventually convert that growth into durable free cash flow.
Revenue Growth Does Not Automatically Mean Improving Economics
Bitdeer's Q2 revenue growth was driven by a major expansion in self-mining activity, with Bitcoin production increasing dramatically as the company's mining capacity expanded. At the same time, its AI Cloud business generated approximately $14 million in revenue, up from just $1.3 million a year earlier.
That combination shows that Bitdeer is becoming more diversified, but the economics remain challenging.
Cost of revenue reached approximately $237.3 million, producing a gross loss of roughly $8.5 million and a gross margin of about -3.7%. Although this represented an improvement from the much larger gross loss recorded in Q1, it still means the company had not yet achieved positive gross profitability at the consolidated level.
The distinction is important. Revenue can grow rapidly when a company adds substantial mining capacity, but if electricity, depreciation, infrastructure, staffing and other operating costs rise alongside that expansion, the incremental revenue may not translate into equivalent earnings growth.
This is one of the fundamental challenges of the Bitcoin-mining business.
Bitcoin Mining Is a Capital-Intensive Growth Model
Bitdeer's self-mining expansion has been substantial. The company produced approximately 2,694 BTC during Q2, representing a nearly fivefold increase from the comparable period, according to recent reporting.
That production growth is strategically significant, but it also requires continuous investment in mining hardware, power infrastructure, facilities and technology.
Quarterly capital expenditures reached approximately $266 million, exceeding quarterly revenue.
This highlights the financial tension behind Bitdeer's expansion strategy: the company is investing aggressively today in the expectation that higher mining capacity and new AI infrastructure will generate significantly greater economic returns in the future.
That strategy can work exceptionally well during favorable Bitcoin and infrastructure cycles. But it also increases sensitivity to Bitcoin prices, network difficulty, electricity costs, hardware depreciation, financing conditions and capital-market access.
The AI Cloud Pivot Could Be the Bigger Story
The most interesting part of Bitdeer's long-term strategy may therefore have little to do with Bitcoin mining itself.
Bitdeer is attempting to transform part of its infrastructure footprint into AI and high-performance computing infrastructure, potentially creating a business with a different revenue profile from traditional cryptocurrency mining.
The early numbers are encouraging. AI Cloud revenue increased nearly tenfold year over year to approximately $14 million in Q2.
But $14 million remains small relative to the company's overall revenue base. The AI business must therefore scale dramatically before it can fundamentally change Bitdeer's consolidated financial profile.
The company has taken several steps in that direction.
Bitdeer recently announced a 16-year AI/HPC colocation agreement with Volta at Tydal in Norway, covering approximately 121 IT megawatts and carrying an expected contracted value of around $4.7 billion. The project is reported to have an estimated NOI margin of approximately 90%, although investors should distinguish between contracted potential economics and revenue that has already been realized.
Bitdeer has also signed a 10-year lease for a 21.7 IT MW facility in Johor Bahru, Malaysia, designed to support 128 NVIDIA GB300 NVL72 systems, with handover expected in Q1 2027.
These developments suggest that management is trying to build an infrastructure platform that can monetize power capacity and data-center assets through AI/HPC customers rather than relying exclusively on Bitcoin mining.
Why AI Infrastructure Could Change the Valuation Framework
The strategic attraction is straightforward.
Bitcoin mining is highly cyclical. Revenue depends heavily on Bitcoin prices, network difficulty, block rewards and electricity costs.
AI infrastructure, by contrast, can potentially generate long-term contracted cash flows from enterprise customers seeking high-performance computing capacity.
If Bitdeer successfully converts its infrastructure into long-duration AI/HPC contracts, investors could eventually value a larger portion of the company based on contracted infrastructure cash flows rather than simply applying a Bitcoin-miner multiple.
That could materially change the investment narrative.
Instead of:
Bitcoin miner → BTC exposure → highly cyclical earnings
the market could eventually begin viewing Bitdeer as:
Digital infrastructure platform → AI/HPC capacity → contracted recurring revenue + Bitcoin optionality
That transition, however, is not yet complete.
The Main Risk: Execution and Capital Intensity
The biggest challenge is that building AI infrastructure is itself enormously capital intensive.
Bitdeer needs to fund data-center construction, power infrastructure, networking, cooling systems, advanced computing equipment and associated development costs. The company therefore faces a capital-allocation challenge similar to other infrastructure businesses attempting to participate in the AI boom.
The question becomes whether the expected returns on these investments are high enough to justify the capital being deployed.
The company's improving adjusted EBITDA provides one encouraging signal. Adjusted EBITDA increased to approximately $31.1 million from $4.6 million in the prior-year period, suggesting that underlying operating performance is improving even though GAAP profitability remains negative.
But investors should be cautious about relying exclusively on adjusted metrics. For a capital-intensive business, cash flow after capital expenditures may ultimately be more important than EBITDA.
Why the Stock Can Fall Even When Revenue Is Rising
The 20% share-price decline illustrates an important principle of equity markets:
Stocks are priced on expectations, not simply historical results.
A company can report 47% revenue growth and still experience a major selloff if investors believe the earnings trajectory, margins, capital requirements, or future guidance are less attractive than previously expected.
Recent reporting indicates that Bitdeer missed some Q2 expectations while reporting a wider-than-expected loss, contributing to the negative market reaction.
The market is therefore asking whether Bitdeer's enormous investment program will eventually produce sufficient returns—or whether the company will require continued capital spending before investors see meaningful free cash flow.
The Bull Case
The bullish scenario rests on three interconnected developments.
First, Bitcoin mining remains highly profitable if BTC prices remain strong and Bitdeer can maintain competitive power costs and mining efficiency.
Second, the company's proprietary mining technology and rapidly expanding hashrate could improve its position within the Bitcoin-mining industry.
Third—and potentially most important—AI/HPC infrastructure could evolve into a high-margin, long-duration business that provides recurring contracted revenue and reduces Bitdeer's dependence on Bitcoin-market cycles.
If those three elements develop simultaneously, Bitdeer could eventually become something much more valuable than a conventional Bitcoin miner.
The Bear Case
The bearish scenario is equally clear.
If Bitcoin prices weaken, mining difficulty continues increasing, electricity costs rise, or hardware economics deteriorate, the mining business could experience significant margin pressure.
At the same time, AI infrastructure requires substantial upfront capital. Delays in construction, customer deployment, financing, power availability, equipment procurement or data-center utilization could postpone the expected returns.
There is also the possibility that the AI opportunity becomes highly competitive. Bitdeer is competing indirectly with hyperscalers, established data-center operators, specialized GPU-cloud providers and other Bitcoin miners attempting the same strategic transition.
What Investors Should Watch Next
The most important metrics are likely to be:
• AI Cloud revenue growth
• AI/HPC contracted backlog and customer deployments
• Adjusted EBITDA versus actual free cash flow
• Capital expenditure and financing requirements
• Bitcoin production and mining efficiency
• Power costs and network difficulty
• Data-center capacity brought online
• Utilization of AI infrastructure
• Conversion of announced contracts into recognized revenue
• Balance-sheet strength and liquidity
The key distinction will be between announced capacity and monetized capacity.
A multi-billion-dollar AI infrastructure agreement can materially improve the long-term outlook, but investors ultimately need to see customers deployed, revenue recognized, margins realized, and cash actually generated.
The Bigger Investment Question
Bitdeer's Q2 results therefore present a fascinating transition story.
The company is simultaneously expanding its Bitcoin-mining operations and attempting to build an AI infrastructure business. That creates significant upside potential, but it also explains why the financial statements remain difficult to interpret through a conventional growth-stock lens.
The 47% revenue increase proves that Bitdeer can scale. The $92.3 million net loss demonstrates that scaling remains expensive. The AI Cloud expansion suggests a potential path toward more predictable economics—but the market still needs evidence that those investments can produce sustainable free cash flow.
The long-term thesis ultimately depends on whether Bitdeer can transform its physical infrastructure, power resources, technology and capital base into a diversified digital-infrastructure platform.
If that transition succeeds, the company could potentially command a valuation framework closer to AI/HPC infrastructure providers rather than traditional Bitcoin miners.
If it fails, investors may continue valuing BTDR primarily according to volatile Bitcoin-mining economics.
That is the real debate behind the selloff: not whether Bitdeer is growing, but whether the company can turn aggressive growth and AI infrastructure investment into durable, high-quality earnings and free cash flow.
This post is for informational purposes only and does not constitute investment, financial, or trading advice. Bitdeer operates in highly volatile and capital-intensive markets. Bitcoin prices, mining difficulty, electricity costs, AI infrastructure demand, financing conditions and execution risks can materially affect future results.
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GOOG Stock: Under Pressure or Building Momentum? The AI Infrastructure Race Behind Alphabet’s Massive Market Value
Alphabet’s stock is increasingly being viewed through a new lens: not simply as a search and advertising company, but as one of the world’s largest AI infrastructure platforms. The central question for investors is whether near-term pressure on the shares represents a valuation reset—or an opportunity to participate in a much larger AI-driven transformation across Alphabet’s business.
The investment case has become increasingly tied to the company’s ability to convert its enormous
EagleEye
GOOG Stock: Under Pressure or Building Momentum? The AI Infrastructure Race Behind Alphabet’s Massive Market Value
Alphabet’s stock is increasingly being viewed through a new lens: not simply as a search and advertising company, but as one of the world’s largest AI infrastructure platforms. The central question for investors is whether near-term pressure on the shares represents a valuation reset—or an opportunity to participate in a much larger AI-driven transformation across Alphabet’s business.
The investment case has become increasingly tied to the company’s ability to convert its enormous investments in artificial intelligence, cloud infrastructure, custom silicon, and next-generation models into sustainable revenue and earnings growth. Alphabet’s Gemini family of AI models, Google Cloud, proprietary accelerators, and global data-center network give the company an unusually broad position across the AI value chain.
At the infrastructure level, Alphabet has a major advantage: vertical integration. Rather than relying exclusively on third-party processors and infrastructure providers, Google has developed its own Tensor Processing Units, or TPUs, designed specifically for machine-learning workloads. This strategy potentially provides greater control over computing costs, performance, capacity planning, and model deployment as AI workloads continue to expand.
The scale of the required investment is substantial. Building AI infrastructure requires enormous amounts of capital for data centers, advanced processors, networking equipment, electricity, cooling systems, and high-speed connectivity. Alphabet therefore faces a fundamental capital-allocation question: how aggressively should it invest today to secure AI capacity without allowing infrastructure spending to weigh excessively on near-term free cash flow?
That trade-off is becoming increasingly important for investors.
On one side, aggressive infrastructure investment could strengthen Alphabet’s competitive position against Microsoft, Amazon, Meta, and other major technology companies competing for leadership in generative AI and cloud computing. Greater capacity could allow Google to serve more enterprise customers, expand Gemini-based products, and increase the scale of AI services offered through Google Cloud.
On the other side, AI infrastructure is extremely capital intensive. If monetization does not accelerate sufficiently, investors could begin questioning whether the returns generated by these investments justify their enormous cost. This creates a potentially important tension between long-term strategic positioning and short-term financial efficiency.
Alphabet also has another major asset: its existing global distribution ecosystem. Google Search, YouTube, Android, Chrome, Maps, Workspace, and Google Cloud provide billions of users and millions of businesses through which AI capabilities can potentially be monetized. The opportunity is therefore not limited to selling AI models; Alphabet can integrate AI into products that already have massive user bases.
The transformation of Google Search is particularly important. AI-generated answers and conversational search could fundamentally change how users interact with information online. This creates both an opportunity and a risk. AI could make Search more useful and strengthen Google's competitive position, but changes in search behavior could also challenge the traditional advertising model that has historically generated a substantial portion of Alphabet’s profits.
Google Cloud represents another critical pillar of the investment thesis. Enterprise demand for AI infrastructure, model hosting, data analytics, and cloud-based machine learning could create a significant new revenue stream. If Alphabet can maintain strong growth in Cloud while expanding AI-related services, investors may increasingly view the business as a diversified AI infrastructure and software platform rather than primarily an advertising company.
The valuation debate therefore becomes more complicated.
A conventional valuation framework based heavily on advertising revenue may underestimate the potential value of Alphabet’s AI infrastructure and cloud businesses. Conversely, assigning an aggressive AI premium before the company demonstrates sufficient incremental earnings could expose investors to valuation compression if growth expectations become too optimistic.
This makes AI monetization relative to AI capital expenditure one of the most important metrics to watch.
Investors should also monitor Alphabet’s competitive position in AI models. The company faces intense competition from OpenAI, Anthropic, Meta, Microsoft, Amazon, and a rapidly expanding ecosystem of open-source developers and specialized AI companies. Model performance is evolving quickly, and technological leadership in one period does not guarantee leadership in the next.
Alphabet’s proprietary TPUs could nevertheless provide an important structural advantage. If Google can reduce inference and training costs through customized silicon while simultaneously improving model performance, the company could potentially achieve better economics across its AI services.
The broader market question is therefore not simply whether GOOG is under pressure or gaining momentum. It is whether Alphabet can successfully transition from an advertising-led technology giant into a diversified AI platform while preserving the profitability that made its existing business so valuable.
For long-term investors, the most important indicators may include:
• AI revenue growth and monetization
• Google Cloud growth and operating margins
• Capital expenditure and AI infrastructure spending
• TPU deployment and cost efficiency
• Gemini adoption across consumer and enterprise products
• Search engagement and advertising economics
• Free cash flow generation after AI investment
• Competitive positioning against other major AI platforms
The core thesis is increasingly clear: Alphabet’s future valuation may depend less on whether AI disrupts Google and more on whether Google can use its existing ecosystem, infrastructure, distribution, and capital base to become one of the dominant beneficiaries of the AI economy.
If Alphabet succeeds, today’s infrastructure spending could ultimately be viewed as strategic investment in a new growth cycle. If monetization fails to keep pace with spending, however, investors may demand a lower valuation multiple.
That makes GOOG a particularly important stock to watch as the AI infrastructure race enters its next phase.
This post is for informational purposes only and does not constitute investment or financial advice. Technology stocks can experience significant volatility, and investors should independently evaluate valuation, earnings expectations, competitive risks, capital expenditure requirements, and broader market conditions before making investment decisions.
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#MoonshotAIPreIPOsOpen
Gate Pre-IPOs Phase 3 has opened the subscription for Moonshot AI ($KIMI), giving eligible users another opportunity to participate in a private-market style offering before potential future market developments. The reference subscription price is currently set at $105–$115 per share, while subscriptions can be made using either $USDT or $GUSD . The subscription window is open until August 13, 2026, at 15:00 (UTC+8), so timing becomes an important part of the strategy for anyone considering participation.
One of the most interesting details is the allocation mechanism. E
GUSD-0.01%
Yusfirah
#MoonshotAIPreIPOsOpen
Gate Pre-IPOs Phase 3 has opened the subscription for Moonshot AI ($KIMI ), giving eligible users another opportunity to participate in a private-market style offering before potential future market developments. The reference subscription price is currently set at $105–$115 per share, while subscriptions can be made using either $USDT or $GUSD . The subscription window is open until August 13, 2026, at 15:00 (UTC+8), so timing becomes an important part of the strategy for anyone considering participation.
One of the most interesting details is the allocation mechanism. Earlier subscription can receive a higher allocation weight, meaning participants who complete their subscription earlier may have an advantage in the allocation process compared with users who wait until the final stage. This makes the opening period particularly important rather than treating the entire subscription window as equal from an allocation perspective.
The $GUSD route adds another layer to the opportunity. According to the event details, users subscribing through $GUSD can continue to benefit from a 3.8% on-demand U.S. Treasury yield, with zero redemption fees. This can make $GUSD attractive for users who want to keep capital productive while preparing for or participating in the Pre-IPO subscription. VIP users may also receive additional airdrop benefits, adding another potential incentive for eligible participants.
From a market perspective, Moonshot AI is a name worth watching because the AI sector continues to attract significant attention from investors looking for exposure to the next generation of artificial intelligence companies. However, a Pre-IPO subscription should be approached differently from a normal spot trade. The reference price of $105–$115 per share is an important valuation reference for this offering, but it should not automatically be interpreted as a guaranteed future market price. Allocation, liquidity, future listing conditions, company performance and overall AI-sector sentiment can all influence the eventual outcome.
My approach would be to focus first on allocation strategy and capital management rather than chasing the opportunity simply because it is connected to AI. I would avoid committing more capital than I can comfortably keep locked or allocated according to the event rules, and I would carefully consider the difference between using $USDT and $GUSD. For users already holding eligible funds, the 3.8% on-demand yield attached to $GUSD can be an additional consideration, while the zero redemption-fee feature provides more flexibility around the capital used for the subscription.
The deadline is August 13, 2026, at 15:00 (UTC+8), so participants should check the official subscription page, eligibility requirements, allocation rules and final event terms before taking action. Earlier participation may carry a higher allocation weight, but speed should never replace proper risk management.
For me, the key takeaway is simple: Moonshot AI Phase 3 is an opportunity to gain potential pre-market exposure to an AI-focused name, but the reference price is only one part of the equation. Allocation size, future liquidity, valuation, AI-sector momentum and personal risk tolerance will matter just as much. I would treat this as a structured opportunity rather than a guaranteed profit trade, keep position sizing controlled, and have a clear plan for what to do after allocation.
The subscription window is already live, making August 11–13 an important period to watch. If participation demand becomes strong, the allocation dynamics could become even more significant. I will be watching the subscription progress, allocation outcome and any further developments around $KIMI closely.
Always verify the latest official terms before subscribing and make decisions based on your own risk tolerance.
#MoonshotAI
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WTI AUGUST OUTLOOK SHIFTS POLYMARKET ODDS COOL FAST
A SHARP REPRICING
Polymarket prediction-market data is showing a notable change in expectations for WTI crude oil during August. The probability of WTI breaking above $85 per barrel has fallen to 71%, dropping 13 percentage points within one hour.
The move is important because it shows how quickly energy-market expectations can change when geopolitical risk begins to ease.
THE HIGHER TARGETS ARE LOSING MOMENTUM
The repricing becomes even clearer at higher price levels:
$85 breakout: 71% probability, down 13 percentage points in one hour
$90 b
CL1.08%
Falcon_Official
WTI AUGUST OUTLOOK SHIFTS POLYMARKET ODDS COOL FAST
A SHARP REPRICING
Polymarket prediction-market data is showing a notable change in expectations for WTI crude oil during August. The probability of WTI breaking above $85 per barrel has fallen to 71%, dropping 13 percentage points within one hour.
The move is important because it shows how quickly energy-market expectations can change when geopolitical risk begins to ease.
THE HIGHER TARGETS ARE LOSING MOMENTUM
The repricing becomes even clearer at higher price levels:
$85 breakout: 71% probability, down 13 percentage points in one hour
$90 breakout: 42% probability, down 7 percentage points
$95 breakout: 25% probability, down 7 percentage points
The pattern is straightforward: the market is becoming progressively less confident that crude will sustain a move toward increasingly higher levels during August.
WHAT TRIGGERED THE CHANGE?
The decline in probabilities follows signals that the U.S. and Iran may be moving toward some form of arrangement, with recent developments pointing toward a potentially more peaceful resolution.
For crude markets, that matters because geopolitical uncertainty can create an additional risk premium. If traders begin to believe that the probability of prolonged disruption is falling, part of that premium can disappear quickly.
This helps explain why prediction-market probabilities can move sharply even before physical oil-market conditions fully change.
THE $85 LEVEL IS THE KEY BATTLEGROUND
At 71%, the $85 scenario is still the dominant outcome among the three levels, but the speed of the decline is what deserves attention.
A 13-point one-hour reduction suggests a meaningful reassessment rather than a minor fluctuation. If diplomatic developments continue improving, expectations for extreme upside in crude could weaken further.
However, prediction-market probabilities are expectations—not guarantees. A sudden geopolitical reversal could rapidly push the odds higher again.
WHY $90 AND $95 MATTER
The declining probabilities at $90 and $95 show that the market is not simply questioning whether crude can cross $85; it is also reducing expectations for a deeper upside extension.
With the $90 probability at 42% and $95 at 25%, the market is assigning substantially lower odds to the more aggressive price scenarios.
This creates an important distinction for traders: a possible $85 test is not the same as a sustained move toward $95.
THE MARKET TRANSMISSION
Oil prices can influence much more than the energy sector.
Higher crude prices can increase inflation expectations, potentially complicating monetary-policy expectations and putting pressure on rate-sensitive assets. Conversely, a reduction in geopolitical risk can lower the energy risk premium and potentially ease some inflation concerns.
That makes the next developments around U.S.-Iran relations important not only for crude traders but also for broader macro markets.
WHAT I’M WATCHING NEXT
The most important variables are:
Geopolitical: whether negotiations continue progressing toward an arrangement.
Oil: whether WTI can maintain momentum toward $85 despite falling prediction-market odds.
Inflation: whether energy prices continue feeding into broader inflation expectations.
Risk assets: whether easing geopolitical pressure improves sentiment across equities and crypto.
BOTTOM LINE
The latest Polymarket repricing shows a clear cooling in expectations for extreme WTI upside during August.
$85: 71% | $90: 42% | $95: 25%
The bigger signal is the speed of the move. When geopolitical expectations change, oil probabilities can reprice within minutes rather than days.
For traders, the focus should remain on confirmed developments and actual price action not prediction odds alone.
#WTICrudeOil
#StockTradingShareChallenge
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@Gate_Square
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#AppleTestsCXMTMemoryChips
APPLE’S CXMT MOVE COULD PUT CHINA’S MEMORY SUPPLY CHAIN IN THE SPOTLIGHT
Apple is reportedly evaluating CXMT DRAM for iPhone and MacBook models destined for the Chinese market, creating a potentially important development for China’s semiconductor ecosystem.
This is more than a supplier qualification story.
It comes at a time when AI infrastructure demand is keeping the global memory market under pressure, with both advanced and conventional DRAM supply facing tight conditions. If CXMT successfully moves from evaluation into meaningful commercial orders, its role i
CXMT-1.09%
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#AppleTestsCXMTMemoryChips
Apple Qualifies CXMT DRAM for China Devices as Futures Trade Sideways
Apple is testing CXMT DRAM for iPhone and MacBook models that will be sold in China. The evaluation is intended to ease ongoing AI-driven memory shortages. HP and Acer have already begun incorporating CXMT chips into products shipped outside the United States. Capacity remains largely committed to Chinese customers, and earlier efforts by Apple to secure more favorable pricing were unsuccessful.
Supply-Chain Significance
AI demand has kept both high-bandwidth and standard DRAM markets tight. By qu
CXMT-1.09%
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#AppleTestsCXMTMemoryChips
Apple Qualifies CXMT DRAM for China Devices as Futures Trade Sideways
Apple is testing CXMT DRAM for iPhone and MacBook models that will be sold in China. The evaluation is intended to ease ongoing AI-driven memory shortages. HP and Acer have already begun incorporating CXMT chips into products shipped outside the United States. Capacity remains largely committed to Chinese customers, and earlier efforts by Apple to secure more favorable pricing were unsuccessful.
Supply-Chain Significance
AI demand has kept both high-bandwidth and standard DRAM markets tight. By qualifying CXMT for its China-bound devices, Apple is adding a domestic supplier option that could reduce dependence on traditional sources for that region. The fact that HP and Acer are already shipping commercial products with CXMT chips shows the company has progressed beyond pure technical evaluation. The rejection of prior price negotiations suggests CXMT currently holds a relatively strong position on the supply side.
Current Futures Structure
On the Gate CXMTUSDT 4-hour chart the contract is consolidating near 7.25. The 50-period moving average sits above at approximately 7.47. Bollinger bands have narrowed, with the lower band near 7.16 and the upper near 7.34. RSI has settled around 46–47, a neutral reading after earlier swings. MACD is hovering close to the zero line with a mild negative bias. The technical picture shows a market that has moved past its more volatile phase and is now trading in a tighter range while the fundamental story continues to develop.
Linking News and Price
Incremental commercial progress of this type typically supports longer-term sentiment toward domestic memory producers. At the same time the chart indicates that short-term speculative positioning has already cooled. Near-term direction will depend on whether the Apple qualification advances into actual volume orders and on how broader AI memory demand evolves in the coming months.
Practical Framing
I view the Apple testing news as a constructive data point for CXMT’s commercial traction, particularly in the China market. Existing adoption by HP and Acer adds further corroboration. On the futures side, the present consolidation near 7.20–7.30 with neutral momentum suggests the market is waiting for the next catalyst. A sustained hold above the 7.15–7.20 zone keeps the short-term structure intact; a break lower would open room for further range expansion.
Closing View
Apple’s decision to test CXMT DRAM for China-market iPhones and MacBooks, set against existing use by HP and Acer and tight capacity controlled by Chinese clients, strengthens the commercial narrative. The Gate futures chart shows price consolidating near 7.25 after earlier volatility, with momentum indicators in neutral territory. The fundamental development is positive; the technical picture is currently one of digestion. Further progress on the Apple qualification and overall memory-demand trends will determine the next directional move.
This is my reading of the reported supply-chain development and the current chart structure. It is not a recommendation.
#CXMT #MemoryChips $CXMT
@Gate_Square
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🚀 $AMD3S ‌ Rebounding Off Strong Support!
+6.79% upside move today as $AMD3S bounces off the $0.80 support zone! Both MA5 and MA10 have crossed over to the upside, and the price is rapidly closing the gap toward the MA30 line ($0.908). A sustained close above $0.90 confirms a full trend shift with primary targets set at $1.07 and $1.50! 📊
#KIMIPreIPOsNowOpen
#GateDOSLaunchpoolLive
#NFPShockSpikesRateCutOdds
#ETHFocusesOnQuantumPrivacyAI
#AppleTestsCXMTMemoryChips
AMD3S4.37%
Shaizaa
🚀 $AMD3S ‌ Rebounding Off Strong Support!
+6.79% upside move today as $AMD3S bounces off the $0.80 support zone! Both MA5 and MA10 have crossed over to the upside, and the price is rapidly closing the gap toward the MA30 line ($0.908). A sustained close above $0.90 confirms a full trend shift with primary targets set at $1.07 and $1.50! 📊
#KIMIPreIPOsNowOpen
#GateDOSLaunchpoolLive
#NFPShockSpikesRateCutOdds
#ETHFocusesOnQuantumPrivacyAI
#AppleTestsCXMTMemoryChips
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#BIP110SoftForkFails
$BTC
BIP-110 STALLS — BITCOIN’S DECENTRALIZED GOVERNANCE JUST PASSED ANOTHER MAJOR TEST
Bitcoin has once again demonstrated why changing its consensus rules is fundamentally different from simply proposing a software upgrade.
BIP-110, a controversial soft-fork proposal focused on restricting certain forms of arbitrary data within Bitcoin transactions, entered its mandatory signaling phase at block 961,632 on August 8, 2026.
But miner support remained extremely limited.
Only around 2.53% of blocks reportedly signaled for the proposal, far below its stated 55% activatio
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#ETHFocusesOnQuantumPrivacyAI
ETHEREUM IS BUILDING FOR THE NEXT DECADE — NOT JUST THE NEXT MARKET CYCLE
Ethereum’s latest long-term direction points toward something much bigger than simply making transactions faster.
The network is increasingly preparing for a future shaped by quantum computing, privacy demands, artificial intelligence and increasingly complex blockchain applications.
This is a strategic shift in how Ethereum thinks about its infrastructure.
QUANTUM SECURITY MOVES UP THE PRIORITY LIST
One of the most important themes is post-quantum security.
Ethereum’s current cryptographi
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prediction hot topic
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prediction big market
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HighAmbition:
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HighAmbition:
2026 GOGOGO 👊
#StockTradingShareChallenge.
$DOS 📊
DOS NETWORK (DOS) – AUGUST 11, 2026 MARKET OUTLOOK
DOS is currently trading around $0.001009, and today's price action is hovering near a key psychological support level that could act as the foundation for a short-term recovery. As a low-cap, low-liquidity token, DOS has the potential to deliver large percentage gains if buying volume increases. However, the same low liquidity can also amplify volatility and slippage, making disciplined risk management essential.
MY CURRENT DOS OUTLOOK
Current Price: ~$0.001009
My short-term outlook remains cautiously b
DOS-10.67%
CryptoSuperMan
#StockTradingShareChallenge.
$DOS 📊
DOS NETWORK (DOS) – AUGUST 11, 2026 MARKET OUTLOOK
DOS is currently trading around $0.001009, and today's price action is hovering near a key psychological support level that could act as the foundation for a short-term recovery. As a low-cap, low-liquidity token, DOS has the potential to deliver large percentage gains if buying volume increases. However, the same low liquidity can also amplify volatility and slippage, making disciplined risk management essential.
MY CURRENT DOS OUTLOOK
Current Price: ~$0.001009
My short-term outlook remains cautiously bullish while DOS holds above the $0.00100 support zone. If buyers continue defending this level and trading volume starts to improve, my first upside target is $0.00110. A confirmed breakout and sustained move above that resistance could shift momentum in favor of the bulls and open the path toward $0.00120.
If bullish momentum strengthens further with higher participation, I would monitor the $0.00130–$0.00150 range as an extended speculative objective. Those higher targets depend heavily on a meaningful increase in volume due to the token's relatively limited liquidity.
TRADING LEVELS
Current Price: ~$0.001009
Accumulation Zone: $0.00098–$0.00102
Confirmation Entry: Above $0.00105
TP1: $0.00110
TP2: $0.00120
TP3: $0.00130
Extended Target: $0.00150
Key Support: $0.00100
Major Support: $0.00095
Bullish Breakout Level: $0.00110
Strong Breakout Zone: Above $0.00120
Invalidation: Sustained move below $0.00095
MY PREDICTION
My primary expectation is for DOS to attempt a recovery toward $0.00110. If buyers manage to reclaim and hold above that level, the next upside objective becomes $0.00120. Beyond $0.00120, continued buying pressure could potentially drive the token into the $0.00130–$0.00150 region, provided trading volume expands significantly.
For today's session, the $0.00100 level remains the most important support. Holding above it keeps the short-term bullish structure intact. A move above $0.00105 would offer the first sign that buyers are regaining control, while $0.00110 remains the critical resistance that must be broken to confirm additional upside.
On the downside, a loss of $0.00100 would weaken the current setup. A decisive breakdown below $0.00095 would invalidate my bullish outlook and keep me out of the market rather than attempting to catch further downside. With lower-liquidity assets, preserving capital always comes before chasing uncertain moves.
MY PERSONAL TRADING PLAN
My strategy is to avoid committing a full position immediately. Instead, I would consider a small initial entry near $0.00100, then add only after confirmation above $0.00105. If DOS reaches $0.00110, I would lock in partial profits. Should price continue toward $0.00120, I would protect additional gains while monitoring volume for signs of another breakout.
For the #StockTradingShareChallenge, my market outlook remains:
DOS: $0.001009 → $0.00110 → $0.00120
Bullish Extension: $0.00130–$0.00150
Risk Zone: Below $0.00095
This remains a speculative setup, so I would keep leverage conservative—or avoid excessive leverage entirely. DOS can experience rapid price swings in both directions, making patience, confirmation, and disciplined risk management the key priorities.
This is my personal market outlook for the #StockTradingShareChallenge, not financial advice or a guaranteed outcome. My focus remains on confirmation, controlled entries, partial profit-taking, and protecting capital above all else.
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#股票交易分享挑战 Kimi at a $50 billion valuation: Bubble or Value?
Opportunities and Hidden Concerns Behind the High Pre-IPO Valuation
When news broke that Moonshot AI’s Kimi was seeking a pre-money valuation of $50 billion in its Series G pre-IPO round, the entire AI venture capital circle erupted. In just eight months, its valuation surged from $4.3 billion to $50 billion, an 11-fold increase. As domestic large-model companies collectively accelerate toward capitalization, this astonishing valuation has become the central topic of industry debate: is it pricing matched by actual strength, or a bubb
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#股票交易分享挑战 Kimi at a $50 billion valuation: Bubble or Value?
Opportunities and Hidden Concerns Behind the High Pre-IPO Valuation
When news broke that Moonshot AI’s Kimi was seeking a pre-money valuation of $50 billion in its Series G pre-IPO round, the entire AI venture capital circle erupted. In just eight months, its valuation surged from $4.3 billion to $50 billion, an 11-fold increase. As domestic large-model companies collectively accelerate toward capitalization, this astonishing valuation has become the central topic of industry debate: is it pricing matched by actual strength, or a bubble built up by primary-market capital?
Looking back at the background of this financing round, the Series G round, as the final key private financing round before an IPO, has extremely scarce project allocations.
Market sources indicate that investors have set entry thresholds, requiring institutions to meet asset-management scale requirements, with all funds to be wired by August 15. The strict time constraints and eligibility requirements clearly demonstrate the project’s strong position in financing negotiations and indirectly confirm the market’s enthusiasm for Kimi.
Yet beyond the enthusiasm, debate over whether the valuation is reasonable has never stopped. The first source of confidence supporting the $50 billion valuation is the strength brought by the product and technology.
Since the official launch of the K3 model, Kimi has entered the global first tier in multiple areas, including long-context processing, multimodal understanding, and code generation. This has broken the long-standing perception that domestic large models can only rely on low prices to capture market share.
The product has not only attracted a massive number of users on the consumer side, but its enterprise API business has also raised prices, proving that the model’s capabilities can support higher pricing and allowing it to move away from the old model of relying on subsidies to exchange for usage volume.
Explosive growth in commercialization data is the most important fundamental basis for capital’s willingness to assign a high valuation. According to operating data circulating in the industry, the company’s annualized ARR revenue has risen rapidly, multiplying within just a few months, with API enterprise services contributing more than 70% of revenue.
With consumer memberships and enterprise services advancing on parallel tracks, the company is no longer relying solely on traffic-driven narratives but has genuinely produced a revenue growth curve. Benchmarking the development paths of overseas AI giants, the rapidly growing commercialization prospects have shown the primary market the potential growth of domestic large models. In addition, scarce IPO expectations have brought a significant valuation premium.
Across China, there are only a handful of large-model unicorns that have truly reached the global first tier while also approaching an IPO filing. Amid the global AI boom, a large number of industrial investors and VC institutions want to invest in leading domestic AI assets, but investable targets are limited.
A pre-IPO round means investors are one step closer to an IPO exit after investing, so capital is willing to pay a premium for this scarcity and expected liquidity.
Comparisons with the valuation systems of overseas companies such as OpenAI and Anthropic also show that capital is benchmarking against the global landscape and assigning domestic leaders greater growth potential.
Yet behind the prosperous valuation lie multiple unavoidable real-world challenges, and the $50 billion pricing has also placed a heavy performance burden on the company.
From a valuation-metric perspective, based on the annualized revenue estimates currently circulating in the market, the company’s price-to-sales ratio is extremely high. By comparison, mature companies in the traditional software SaaS industry mostly have price-to-sales ratios in the 10–25 range. Even overseas high-growth AI companies rarely maintain such high multiples over the long term.
A high valuation means the company must sustain explosive revenue growth. To support its current valuation, revenue will need to expand severalfold over the next one to two years. If revenue growth slows, it will be difficult for the existing valuation to obtain fundamental support.
Second, industry competition leaves the company no room to catch its breath. Domestic competitors such as DeepSeek continue to release new versions and seize developers and enterprise customers, while overseas giants are also constantly updating their foundation models, making technological iteration change in an instant. Today’s technological advantage could be caught up with or even surpassed by competitors at any time.
There is no once-and-for-all moat in the large-model sector. The high cost of computing power must also not be overlooked. Even with rapidly rising revenue, large-model training and inference consume massive amounts of high-end chip resources, and companies remain in a stage of substantial losses. As revenue rises, the costs of computing power, research and development, and talent are expanding in tandem.
How to increase gross margins while expanding revenue and move toward profitability is a challenge facing all large-model companies. Attractive revenue figures accompanied by continued losses will remain a key issue for secondary-market investors to scrutinize after the future listing. More importantly, the $50 billion is merely a valuation formed through private transactions in the primary market. The subscription pricing set by a small number of primary-market institutions cannot be equated with the company’s true future market capitalization in the secondary market. Many unicorns that were highly sought after in the primary market have experienced substantial valuation discounts after entering the capital markets. Once the formal IPO takes place, secondary-market investors will scrutinize revenue quality, the scale of losses, and competitive barriers even more rigorously. If commercialization falls short of expectations, the high valuation will face the risk of a correction.
Ultimately, determining whether the $50 billion valuation can hold up comes down to two core tests.
The first test is the ability to deliver on commercialization. Over the next 12 to 18 months, can revenue continue to grow rapidly, will enterprise customer retention remain stable, and can gross margins improve steadily? If revenue continues to rise and gradually absorbs the high price-to-sales ratio, the high valuation will be validated by fundamentals; if growth momentum runs out, the risk of a valuation bubble will emerge.
The second test is the construction of long-term barriers. The company cannot rely solely on foundation-model capabilities; it must also build a second growth curve through agents, industry solutions, and deployment in vertical industries. Relying only on a single API-based model can easily lead to vicious price competition. Only by truly penetrating industries and creating irreplaceable value can it maintain its position in the sector.
Viewed from the perspective of the entire domestic large-model industry, Kimi’s high valuation is not merely about the company itself but is also a microcosm of the sector as a whole. After the hundred-model war, the industry has moved beyond the era of blindly burning money and staking out territory, and capital has begun concentrating on the leaders. The market no longer looks only at parameters and user numbers, but places greater emphasis on commercialization capabilities. Of course, a high valuation is both an honor and a constraint. Capital is willing to bet on the future, but the future ultimately needs real performance to deliver on that bet. Funding can push up a valuation, but a company’s long-term value can only be built up bit by bit through technological iteration and commercial deployment. Once the noise dies down, time will provide the final answer.#Pre-IPOs第三期KIMI今日开启认购
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HighAmbition:
LFG 🔥
⏳ Pre-IPOs Phase 3 Moonshot AI ($KIMI ) Pre-IPO subscription is in full swing—participate now to secure your allocation
📌 Key dates:
🔹 Subscription deadline: August 13, 15:00 (UTC+8)
🔹 Distribution: Expected August 17, 15:00 (UTC+8)
🔹 Dedicated market trading: Please refer to the official announcement
🔹 Subscribe using $GUSD to earn a 3.8% yield on flexible US Treasuries, with zero redemption fees; VIP users enjoy additional free airdrops
Subscribe now: https://www.gate.com/ipos/34
More details: https://www.gate.com/announcements/article/101035
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GateLaunch
⏳ Pre-IPOs Phase 3 Moonshot AI ($KIMI) Pre-IPO subscription is in full swing—participate now to secure your allocation
📌 Key dates:
🔹 Subscription deadline: August 13, 15:00 (UTC+8)
🔹 Distribution: Expected August 17, 15:00 (UTC+8)
🔹 Dedicated market trading: Please refer to the official announcement
🔹 Subscribe using $GUSD to earn a 3.8% yield on flexible US Treasuries, with zero redemption fees; VIP users enjoy additional free airdrops
Subscribe now: https://www.gate.com/ipos/34
More details: https://www.gate.com/announcements/article/101035
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#Gate上线DOS瓜分Launchpool百万代币 Gate #Launchpool Round 370: Stake $GUSD $USDT $DOS to earn 1,410,000 $DOS
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More details: https://www.gate.com/announcements/article/101067$DOS
DOS-10.67%
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Yusfirah
#Gate上线DOS瓜分Launchpool百万代币 Gate #Launchpool Round 370: Stake $GUSD $USDT $DOS to earn 1,410,000 $DOS
🔹 Estimated annualized yield up to 245.07%
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📅 August 10, 19:00 - August 24, 19:00 (UTC+8)
Stake now: https://www.gate.com/launchpool/533
More details: https://www.gate.com/announcements/article/101067$DOS
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🚀 Gate Gold & Silver Futures Hot Coin Airdrop Is Now Live!
Trade $XAU (Gold) and $XAG (Silver)! Share a 50,000 USDT cash reward pool!
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CopyTrading
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